IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Bowen Pan, Rameswar Panda, Yifan Jiang 0001, Zhangyang Wang, Rogério Feris, Aude Oliva. IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 24898-24911, 2021. [doi]

This author has not been identified. Look up 'Bowen Pan' in GoogleThis author has not been identified. Look up 'Rameswar Panda' in GoogleThis author has not been identified. Look up 'Yifan Jiang 0001' in GoogleThis author has not been identified. Look up 'Zhangyang Wang' in GoogleThis author has not been identified. Look up 'Rogério Feris' in GoogleThis author has not been identified. Look up 'Aude Oliva' in Google

runs on WebDSL